ALEXANDRIA, Va., July 23 -- United States Patent no. 12,367,384, issued on July 22, was assigned to Sanofi (Paris).
"Residual semi-recurrent neural networks" was invented by Qi Tang (Cambridge, Mass.) and Youran Qi (Madison, Wis.).
According to the abstract* released by the U.S. Patent & Trademark Office: "Residual semi-recurrent neural networks (RSNN) can be configured to receive both time invariant input and time variant input data to generate one or more time series predictions. The time invariant input can be processed by a multilayer perceptron of the RSNN. The output of the multilayer perceptron can be used as an initial state for a recurrent neural network unit of the RSNN. The recurrent neural network unit can also receive time in...